A spectral approach to recursive end-to-end distortion estimation for sub-pixel motion-compensated video coding

Error resilient video coding critically relies on the accuracy of endto-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is based on tracking the first and second moments of the decoder reconstructed pixels. This paper is focused on an alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), whose recursion is performed in the transform domain. The SCORE formulation is extended to derive a new technique for effective end-to-end distortion estimation, which accounts for sub-pixel motion compensation. Specifically, this technique exploits properties of the transform, such as coefficient de-correlation and energy compaction, to overcome ROPE’s remaining shortcoming due to the proliferation of cross-correlation terms requiring excessive complexity or relatively crude approximations. Experiments show that the accuracy of SCORE matches ROPE in the full-pixel motion compensation setting, where...

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Jingning Han, Vinay Melkote, Kenneth Rose
• Keywords: Distortion Estimation, ICASSP 2011, ROPE, Signal Processing, Sub-pixel Motion Compensation